ZipRecruiter

Log In

1

Manager Ros Robotics Jobs (NOW HIRING)

Apex Systems

Robotics Expert/Advisor

Washington, DC

Fluency in C++, Python, and ROS/ROS2. Leadership & Delivery Ability to lead robotics engineering tasks within larger program scopes. Experience managing cross-functional engineering teams. Ability to ...

New

Divergent

Industrial Robotics Engineer

Torrance, CA

... ROS. * Knowledge of unit-testing, CI/CD pipelines, and containerization (Docker, Kubernetes ... Ability to work effectively with cross-functional teams, including product managers & owners ...

Sabanto

Robotics Engineer

Chicago, IL

Organized, disciplined, and can manage multiple priorities simultaneously * Industrious - ideally ... Mastery of Python or C++ * Mastery of ROS/ROS2 * Experience working with Geospatial data

next page

Showing results 1-20

All JobsManager Ros Robotics Jobs

Manager Ros Robotics information

See salary details

$30.5K

$91.5K

$175.5K

How much do manager ros robotics jobs pay per year?

As of Jun 12, 2026, the average yearly pay for manager ros robotics in the United States is $91,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $107,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Ros Robotics vs Robotics Engineer?

AspectManager Ros RoboticsRobotics Engineer
Required CredentialsBachelor's or Master's in Robotics, Engineering, or related field; leadership experienceBachelor's or Master's in Robotics, Mechanical, Electrical Engineering, or Computer Science
Work EnvironmentOversees teams in labs, manufacturing, or R&D facilities; managerial dutiesDesigns, develops, and tests robotic systems; hands-on technical work
Employer & Industry UsageUsed in robotics companies, manufacturing, automation firmsEmployed in similar industries, focusing on technical development
Common Search & ComparisonOften compared for leadership roles in roboticsCompared for technical expertise and development roles

The main difference between Manager Ros Robotics and Robotics Engineer lies in their focus: the Manager oversees teams and project management, requiring leadership skills, while the Robotics Engineer concentrates on designing and developing robotic systems with technical expertise.

More about Manager Ros Robotics jobs
What cities are hiring for Manager Ros Robotics jobs? Cities with the most Manager Ros Robotics job openings:
What are the most commonly searched types of Ros Robotics jobs? The most popular types of Ros Robotics jobs are:
What states have the most Manager Ros Robotics jobs? States with the most job openings for Manager Ros Robotics jobs include:
What job categories do people searching Manager Ros Robotics jobs look for? The top searched job categories for Manager Ros Robotics jobs are:
Manager Ros Robotics jobs near you
Infographic showing various Manager Ros Robotics job openings in the United States as of June 2026, with employment types broken down into 10% As Needed, 73% Full Time, 4% Part Time, 11% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $91,454 per year, or $44 per hour.

Machine Learning Engineer - Robot Perception

Maven Robotics

San Francisco, CA • On-site

Other

Posted 12 days ago

Job description

Company Overview

Maven Robotics is building the world's leading general-purpose AI robots.

We are currently operating in stealth and are growing the world's best team in AI robotics. We are looking for self-starters that are the world's best in their field, who can innovate from a deep understanding of the fundamentals, and who share our values of unwavering truth seeking and integrity, humility, curiosity, and relentless determination.

Role Description

We are looking to recruit an exceptional Machine Learning Engineer - Robot Perception to design, implement, test, and deploy robot perception algorithms that power our robots' ability to understand and interact with the world.

In this role you will:

  • Develop, train, and deploy ML-based perception algorithms for object detection, pose estimation, tracking, and scene understanding.
  • Integrate sensor fusion techniques using cameras, depth sensors, IMUs, and tactile feedback.
  • Optimize real-time perception pipelines for low-latency and robust performance in dynamic environments.
  • Work closely with hardware engineers to design sensor configurations and optimize perception models for onboard deployment.
  • Contribute to our broader AI and autonomy stack, ensuring seamless integration with reasoning, manipulation, planning and control.
  • Collaborate across disciplines to ensure seamless integration of ML models and provide technical mentorship to junior engineers.
Qualifications

Must-have:

  • MS or PhD in machine learning, computer science, robotics, or a related field.
  • Strong background in computer vision, deep learning, and sensor fusion.
  • Proficiency in Python and C++, with experience in frameworks like PyTorch, TensorFlow, OpenCV, and ROS.
  • Hands-on experience with real-world robotics perception systems (e.g., SLAM, 3D reconstruction, multimodal perception).
  • Experience working with hardware, including setting up and calibrating cameras, LiDAR, and other sensors.
  • Experience with data collection, preprocessing, and management in the context of training ML models.
  • Self-starter attitude with strong ability to identify problems, prioritize them, then plan and execute working solutions.
  • Enthusiasm for working in a fast paced startup environment and eagerness to support the team on a variety of topics.

Nice-to-have:

  • Familiarity with robotic simulation environments (e.g., Gazebo, MuJoCo) and experience in sim-to-real transfer.
  • Experience in:
    • Developing models that can handle noisy, incomplete, or sparse data.
    • Deployment of ML models to edge devices for real-time inference (e.g., NVIDIA Jetson).
    • Accelerating ML training processes using GPU, TPU, or other HW accelerators.
    • General knowledge of robotics principles, including kinematics, dynamics, and control.

Apply